most citedStronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

cs.CL2026★ 2 cited

Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models

Alex Laitenberger, Christopher D. Manning, Nelson F. Liu

With the rise of long-context language models (LMs) capable of processing tens of thousands of tokens in a single context window, do multi-stage retrieval-augmented generation (RAG…

cs.CL2024

Assessing The Potential Of Mid-Sized Language Models For Clinical QA

Elliot Bolton, Betty Xiong, Vijaytha Muralidharan +4

Large language models, such as GPT-4 and Med-PaLM, have shown impressive performance on clinical tasks; however, they require access to compute, are closed-source, and cannot be de…